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    Course Details

    R is the flexible programming language for statistical computing and data environment which comprises of customizable graphics and animations. Commercial packages can be created to adequate intellectual protection for developers. R is a powerful programming in which data can be read and stored as a list, matrix or dataframe. It consists of interfaces from analytical software and data-visualization packages. Business analytics with R training teach the insight into analytics and acquire skills in methodologies and techniques.

    Business Analytics with R Training Overview

    Our training deliver practical knowledge on R language for Business Analytics. The sessions provide conceptual knowledge and cover the installation of R programming and how to import various formats of Data with advanced R topics like: GUI for Data Mining Technique, optimizing R code, Data Visualization using R Commander with practical implementation by real-time working expert.

    Business Analytics with R Training Curriculum

     

    In this module, you will understand what is R language, business analytics with R, Installing R and much more…

    Understand Business Analytics and R
    Knowledge on the R language
    Community and ecosystem
    Understand the use of ‘R’ in the industry
    Compare R with other software in analytics
    Install R and the packages useful for the course
    Perform basic operations in R using command line
    Learn the use of IDE R Studio and Various GUI
    Use the ‘R help’ feature in R
    Knowledge about the worldwide R community collaboration.

    R language is widely used among statisticians and data miners for developing statistical software and data analysis.

    The various kinds of data types in R and its appropriate uses
    The built-in functions in R like: seq(), cbind (), rbind(), merge()
    Knowledge on the various Sub-setting methods in R
    Summarize data by using functions like: str(), class(), length(), nrow(), ncol() in R
    Use of functions like head(), tail() for inspecting data
    Indulge in a class activity to summarize data in R

    One of the most important aspects of computing with data is the ability to manipulate it, to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose.

    The various steps involved in R for Data Cleaning
    Functions used in R for Data Inspection
    Tackling the problems faced during Data Cleaning
    Uses of the functions like grep(), sub()
    Coerce the data in R
    Uses of the apply() functions.

    This module describes how to enter or import data into R, and how to prepare it for use in statistical analyses.

    Import data from spreadsheets and text files into R
    Import data from other statistical formats like sas7bdat and spss into R
    Package installation used for database import
    Connect to RDBMS from R using ODBC and basic SQL queries in R
    Basics of Web Scraping in R

    Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set.

    Understanding the Exploratory Data Analysis (EDA)
    Implementation of EDA on various datasets in R
    Box plots
    Understanding the cor() in R
    EDA functions like summarize()
    llist()
    Multiple packages in R for data analysis
    The Fancy plots like Segment plot and HC plot in R.

    One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code.

    Understanding on Data Visualization
    Graphical functions present in R
    Plot various graphs in R like table plot, histogram, box plot
    Customizing Graphical Parameters to improvise the plots
    Understanding GUIs like Deducer and R Commander
    Introduction to Spatial Analysis in R

    This module will concentrate on k means clustering techniques.

    Introduction to Data Mining in R
    Understanding Machine Learning
    Supervised and Unsupervised Machine Learning Algorithms in R
    K-means Clustering.

    Understand Association Rule Mining in R and sentiment analysis.

    Association Rule Mining in R
    Sentiment Analysis.

    We’ll demonstrate linear regression and logistic regression in this module

    Linear Regression in R
    Logistic Regression in R

    In this module, learn about Anova and predictive analysis techniques in R

    Anova
    Predictive Analysis.

    This module will enlighten you over the decision trees in R, classification Rules, concepts of random forest and much more..

    Decision Trees in R
    Algorithm for creating Decision Trees
    Greedy Approach: Entropy and Information Gain
    Creating a Perfect Decision Tree in R
    R Classification Rules for Decision Trees
    Concepts of Random Forest in R
    Working of Random Forest in R
    Features of Random Forest in R

    This module discusses the concepts taught throughout the course and their implementation in a Project..

    Analyse Census Data
    To predict insights on the income of the people based on the factors like : Age, education, work-class, occupation, etc.

    Faqs

    Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

    We record each LIVE class session you undergo through and we will share the recordings of each session/class.

    Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

    The Training itself is Real-time Project Oriented.

    Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

    There are some Group discounts available if the participants are more than 2.

    As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

    Minneapolis, Melbourne, Jacksonville, Davidson, Murfreesboro, Auckland, Carlsbad,  San Marcos, Tacoma, Bellevue, Garland, Raleigh-Cary, Fort Lauderdale, Miami, Toronto, Wellington, Gilbert, Tempe, Alexandria, Chandler, Scottsdale, Peoria, Honolulu, Raleigh, Nashville, Plano, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Brisbane, Perth etc…

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